Analysis Subsection (within the Methods section)
Provide a clear description of:
- The statistical procedures used to answer your evaluation question (e.g., paired samples t-test or Wilcoxon Signed-Rank test)
- The specific variables from the Week 6 dataset that you used. Your evaluation question must be based on a pre–post variable included in the provided dataset (e.g., SDQ_pre/SDQ_post, PHQA_pre/PHQA_post, GAD7_pre/GAD7_post, YOQ_pre/YOQ_post, CANS_pre/CANS_post, PSS_pre/PSS_post).
- Any data cleaning or screening steps (e.g., handling missing values, checking outliers, assessing normality)
- Your rationale for selecting the statistical test you used (e.g., was normality met? )
See page 222 of the textbook for formatting guidance.
2. Results Section
Use the Week 6 data file provided below (not the Week 5 hypothetical data you created). You can use either the SPSS file (programeval.sav) or the Excel file (program_eval_dataset.xlsx)
Program eval codebook.docx
programeval.sav
program_eval_dataset.xlsx
Report your statistical findings using appropriate conventions:
- Descriptive statistics (means/SDs or medians/IQR if using Wilcoxon)
- Inferential results (test statistic, df where applicable, p-value)
- Effect size (e.g., Cohen’s d for t-test, or r for Wilcoxon)
- APA-style formatting
- Tables or graphs to illustrate key results
Your results should clearly communicate whether there was meaningful change from pre- to post-intervention and what that change implies for program effectiveness.
The assignment is due by end of the day on Sunday.